Demo notebook

Demo notebook

We can also create parts of our Jupyter Book based on Jupyter Notebooks.

Let’s simulate data for two conditions and print their first ten rows:

import numpy as np

cond_1 = np.random.rand(100)
print(f'Condition 1 = {cond_1[:10]}')

cond_2 = cond_1 + (np.random.rand(100))
print(f'Condition 2 = {cond_2[:10]}')

Condition 1 = [0.11107451 0.49710919 0.5566899  0.54504503 0.88877899 0.4875734
 0.00502623 0.67200632 0.57936247 0.13563236]
Condition 2 = [0.5376877  0.93185037 1.007088   0.91623805 1.42370714 0.51151495
 0.52945077 1.51943486 0.78810458 0.15808275]

We can also display in our Jupyter Book more complex datastructures, like pandas dataframes:

import pandas as pd

df = pd.DataFrame(
    {'condition_1': cond_1, 'condition_2': cond_2}, 
    index=np.arange(100)
)

df[:10]
condition_1 condition_2
0 0.111075 0.537688
1 0.497109 0.931850
2 0.556690 1.007088
3 0.545045 0.916238
4 0.888779 1.423707
5 0.487573 0.511515
6 0.005026 0.529451
7 0.672006 1.519435
8 0.579362 0.788105
9 0.135632 0.158083

And of course, we can display plots as well!

import matplotlib.pyplot as plt

plt.scatter(cond_1, cond_2, alpha=.6)
plt.xlabel('condition 1')
plt.ylabel('condition 2')
plt.title('Scatterplot')
plt.show()
_images/demo_7_0.png 
import ipywidgets as widgets
widgets.IntSlider()

from IPython.display import display
w = widgets.IntSlider()
display(w)

a = widgets.FloatText()
b = widgets.FloatSlider()
display(a,b)

mylink = widgets.jslink((a, 'value'), (b, 'value'))

#slider.close()

from ipywidgets import Layout, Button, Box

items_layout = Layout( width='auto')     # override the default width of the button to 'auto' to let the button grow

box_layout = Layout(display='flex',
                    flex_flow='column',
                    align_items='stretch',
                    border='solid',
                    width='50%')

words = ['correct', 'horse', 'battery', 'staple']
items = [Button(description=word, layout=items_layout, button_style='danger') for word in words]
box = Box(children=items, layout=box_layout)
box

import ipywidgets as widgets
widgets.Password(
    value='password',
    placeholder='Enter password',
    description='Password:',
    disabled=False
)

import plotly.express as px

df = px.data.stocks(indexed=True)-1
fig = px.area(df, facet_col="company", facet_col_wrap=2)
fig.show()

import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv')

import plotly.express as px
fig = px.density_mapbox(df, lat='Latitude', lon='Longitude', z='Magnitude', radius=10,
                        center=dict(lat=0, lon=180), zoom=0,
                        mapbox_style="stamen-terrain")
fig.show()

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